How Dun & Bradstreet cut ML latency by 40% with AI

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United States Google Cloud
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Published on ● Video Link: https://www.youtube.com/watch?v=9DMgZuJvbJU


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For Dun & Bradstreet, a global leader in business data, the key to unlocking AI was building a modern data foundation. Mohammed Nasir, VP of Data and Analytics Platforms, explains how their partnership with Databricks and Google Cloud transformed their capabilities.

By leveraging a unified platform, Dun & Bradstreet empowered their data scientists to innovate faster and reduced latency for critical machine learning models by 30-40%. Learn how this strategic approach not only improved performance but also enabled the creation of their new AI Lab, driving the next generation of data-driven insights.

Dun & Bradstreet acquired Databricks on Google Cloud Marketplace. Learn more → https://goo.gle/4msAvVA.



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